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  2. Response surface methodology - Wikipedia

    en.wikipedia.org/wiki/Response_surface_methodology

    Response surface methodology uses statistical models, and therefore practitioners need to be aware that even the best statistical model is an approximation to reality. In practice, both the models and the parameter values are unknown, and subject to uncertainty on top of ignorance.

  3. Best response - Wikipedia

    en.wikipedia.org/wiki/Best_response

    In game theory, the best response is the strategy (or strategies) which produces the most favorable outcome for a player, taking other players' strategies as given. [1] The concept of a best response is central to John Nash's best-known contribution, the Nash equilibrium, the point at which each player in a game has selected the best response (or one of the best responses) to the other players ...

  4. Box–Behnken design - Wikipedia

    en.wikipedia.org/wiki/Box–Behnken_design

    In statistics, Box–Behnken designs are experimental designs for response surface methodology, devised by George E. P. Box and Donald Behnken in 1960, to achieve the following goals: Each factor, or independent variable, is placed at one of three equally spaced values, usually coded as −1, 0, +1.

  5. Bertrand competition - Wikipedia

    en.wikipedia.org/wiki/Bertrand_competition

    Diagram 1 illustrates firm 1's best response function, ″ (), given the price set by firm 2. Note, M C {\displaystyle MC} in the diagram stands for marginal cost, c {\displaystyle c} . The Nash Equilibrium ( N {\displaystyle N} ) in the Bertrand model is the mutual best response; an equilibrium where neither firm has an incentive to deviate ...

  6. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    In statistics, linear regression is a model that estimates the linear relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable).

  7. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory ...

  8. Bayesian game - Wikipedia

    en.wikipedia.org/wiki/Bayesian_game

    In a non-Bayesian game, a strategy profile is a Nash equilibrium if every strategy in that profile is a best response to every other strategy in the profile; i.e., there is no strategy that a player could play that would yield a higher payoff, given all the strategies played by the other players.

  9. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    These diagrams depict elements as points in the plane, and sets as regions inside closed curves. A Venn diagram consists of multiple overlapping closed curves, usually circles, each representing a set. The points inside a curve labelled S represent elements of the set S, while points outside the boundary represent elements not in the set S.